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GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
13 years 2 months ago
Bumblebees: a multiagent combinatorial optimization algorithm inspired by social insect behaviour
This paper introduces a multiagent optimization algorithm inspired by the collective behavior of social insects. In our method, each agent encodes a possible solution of the probl...
Francesc Comellas, Jesus Martinez-Navarro
PPSN
2004
Springer
13 years 10 months ago
Evaluation of Adaptive Nature Inspired Task Allocation Against Alternate Decentralised Multiagent Strategies
Adaptive multiagent algorithms based upon the behaviour of social insects are powerful decentralised systems capable of solving complex problems. The intelligence of such a system ...
Richard Price, Peter Tiño
GECCO
2009
Springer
169views Optimization» more  GECCO 2009»
13 years 9 months ago
An ant based algorithm for task allocation in large-scale and dynamic multiagent scenarios
This paper addresses the problem of multiagent task allocation in extreme teams. An extreme team is composed by a large number of agents with overlapping functionality operating i...
Fernando dos Santos, Ana L. C. Bazzan
GECCO
2008
Springer
149views Optimization» more  GECCO 2008»
13 years 6 months ago
Real-time imitation-based adaptation of gaming behaviour in modern computer games
In the course of the recent complexification and sophistication of commercial computer games, the creation of competitive artificial players that are able to behave intelligentl...
Steffen Priesterjahn, Alexander Weimer, Markus Ebe...